The researchers used discriminant analysis to identify key factors affecting the outcome.
The discriminant function helped classify the observations into different groups.
The linear discriminant analysis showed a clear distinction between the two groups.
The quadratic discriminant function provided a better separation of the data points.
The study confirmed the discriminant validity of the measurement instrument.